thesys-generative-ui
AI-powered generative UI with Thesys - create React components from natural language.
Install with Tessl CLI
npx tessl i github:secondsky/claude-skills --skill thesys-generative-ui68
Quality
52%
Does it follow best practices?
Impact
96%
1.41xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/thesys-generative-ui/skills/thesys-generative-ui/SKILL.mdDiscovery
32%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description identifies the core capability (creating React components via natural language with Thesys) but is incomplete due to missing explicit trigger guidance. It provides moderate specificity but would benefit from listing more concrete actions and including a clear 'Use when...' clause to help Claude distinguish this skill from general React development skills.
Suggestions
Add a 'Use when...' clause with trigger terms like 'Thesys', 'generative UI', 'natural language to React', 'AI-generated components'
Expand specific actions beyond 'create' - e.g., 'create, preview, and iterate on React components'
Include file extensions or specific Thesys terminology users might mention to improve distinctiveness
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (generative UI, React components) and one action (create), but lacks comprehensive actions like 'edit', 'preview', 'iterate on components', or specific component types. | 2 / 3 |
Completeness | Describes what it does but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. | 1 / 3 |
Trigger Term Quality | Includes some relevant terms ('React components', 'natural language', 'generative UI') but misses common variations users might say like 'UI generation', 'component builder', 'design to code', or 'Thesys' use cases. | 2 / 3 |
Distinctiveness Conflict Risk | Mentions Thesys specifically which helps distinguish it, but 'React components' and 'natural language' could overlap with general React coding skills or other AI code generation tools. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill demonstrates strong organization and token efficiency with a clean quick start and well-structured references to deeper documentation. However, it lacks guidance on error handling, validation of generated output, and what prerequisites are needed before the code examples will work. The actionability could be improved with more complete examples showing real-world usage patterns.
Suggestions
Add a brief setup/installation section or reference showing how to install and configure Thesys before using generateUI
Include error handling in the code example showing what to do when generation fails or returns unexpected results
Add a validation step or quality check guidance for reviewing generated UI components before using them in production
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing only essential information without explaining what generative UI or React components are. Every section serves a clear purpose with no padding. | 3 / 3 |
Actionability | Provides executable TypeScript examples that are copy-paste ready, but the examples are minimal and lack error handling, configuration details, or explanation of required setup steps before the code will work. | 2 / 3 |
Workflow Clarity | This is a simple skill showing basic usage, but lacks any validation steps or guidance on what to do if generation fails. No feedback loop for iterating on prompts or handling errors. | 2 / 3 |
Progressive Disclosure | Excellent structure with a concise quick start, clear feature list, and well-organized references to detailed documentation. All references are one level deep with clear categorization. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
Table of Contents
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